AI Article Synopsis
- India has a significant malaria burden, but Punjab is making progress towards elimination with low incidence rates; the study evaluated the effectiveness of its malaria surveillance system.
- The evaluation included interviews and data reviews in two districts to assess various system attributes, revealing strengths in flexibility and weaknesses in representativeness and stability.
- Recommendations for improvement include minimizing supplemental work for staff, ensuring private sector reporting, and providing ongoing training to enhance data quality and timeliness.
Article Abstract
Background: India accounted for 6% of global burden of malaria with 95% population residing in malaria endemic areas. However, Punjab is in the malaria elimination phase with annual parasite incidence (API) <1/1000 population.
Objectives: We evaluated malaria surveillance system in Punjab using CDC's updated guidelines for evaluating public health surveillance systems to provide recommendations for strengthening the existing system and to overcome the challenges in the path of malaria free Punjab.
Methods: We chose two districts of Punjab, Amritsar (lowest API) and Mansa (highest API), interviewed stakeholders, and performed a retrospective desk review. We evaluated the overall usefulness of the system and assessed seven attributes at state, district, health facility, and village level during July-August 2020.
Results: In Punjab, there was progressive decline in the malaria cases from 2,955 cases in 2009 to 1,140 in 2019 and no malaria deaths since 2011. Regarding various attributes, overall score for flexibility was good (85.9%); average for simplicity (77%), acceptability (74%), data quality (74%), and timeliness (70%); and poor for representativeness (59%) and stability (57%).
Conclusions: Malaria surveillance system was useful in analyzing the trends of morbidity and mortality and for generating data to drive policy decisions. To improve stability, representativeness, and acceptability, surveillance staff should not be engaged in supplemental work, and reports from private sector must be ensured. Supportive supervision and regular trainings should be carried out regarding reporting formats, guidelines, and timely epidemiological investigations to improve timeliness, data quality, and simplicity.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353677 | PMC |
| http://dx.doi.org/10.4103/ijcm.ijcm_305_22 | DOI Listing |
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